Annotations for ConfLab A Rich Multimodal Multisensor Dataset of Free-Standing Social Interactions In-the-Wild
This file contains the annotations for the ConfLab dataset, including actions (speaking status), pose, and F-formations.
------------------
./actions/speaking_status:
./processed: the processed speaking status files, aggregated into a single data frame per segment. Skipped rows in the raw data (see https://josedvq.github.io/covfee/docs/output for details) have been imputed using the code at: https://github.com/TUDelft-SPC-Lab/conflab/tree/master/preprocessing/speaking_status
The processed annotations consist of:
./speaking: The first row contains person IDs matching the sensor IDs,
The rest of the row contains binary speaking status annotations at 60fps for the corresponding 2 min video segment (7200 frames).
./confidence: Same as above. These annotations reflect the continuous-valued rating of confidence of the annotators in their speaking annotation.
To load these files with pandas: pd.read_csv(p, index_col=False)
./raw.zip: the raw outputs from speaking status annotation for each of the eight annotated 2-min video segments. These were were output by the covfee annotation tool (https://github.com/josedvq/covfee)
Annotations were done at 60 fps.
--------------------
./pose:
./coco: the processed pose files in coco JSON format, aggregated into a single data frame per video segment. These files have been generated from the raw files using the code at: https://github.com/TUDelft-SPC-Lab/conflab-keypoints
To load in Python: f = json.load(open('/path/to/cam2_vid3_seg1_coco.json'))
The skeleton structure (limbs) is contained within each file in:
f['categories'][0]['skeleton']
and keypoint names at:
f['categories'][0]['keypoints']
./raw.zip: the raw outputs from continuous pose annotation. These were were output by the covfee annotation tool (https://github.com/josedvq/covfee)
Annotations were done at 60 fps.
---------------------
./f_formations:
seg 2: 14:00 onwards, for videos of the form x2xxx.MP4 in /video/raw/ for the relevant cameras (2,4,6,8,10).
seg 3: for videos of the form x3xxx.MP4 in /video/raw/ for the relevant cameras (2,4,6,8,10).
Note that camera 10 doesn't include meaningful subject information/body parts that are not already covered in camera 8.
First column: time stamp
Second column: "()" delineates groups, "<>" delineates subjects, cam X indicates the best camera view for which a particular group exists.
phone.csv: time stamp (pertaining to seg3), corresponding group, ID of person using the phone
- 2022-06-07 first online
- 2022-06-08 published, posted
- NWO 639.022.606.
- Aspasia grant associated with vidi grant 639.022.606.
DATA - restricted access
Reason
Note that you DO NOT need to request access by clicking the 'Request access to files' button below. You can request access by filling in the EULA form which can be found here: https://doi.org/10.4121/20016194 Once completed, please email it back to [email protected]. When your request is approved, private links will be emailed to you.Your request will be sent to the owner of the dataset.
